三轴稳定平台式航空重力测量数据处理方法研究与实现

Research and implementation of data processing method for the three-axis stabilized platform airborne gravity measuring system

开展航空重力测量数据处理方法研究,提高数据处理的精度,赶超世界先进水平,具有十分重要的意义。本文基于国产三轴稳定平台式航空重力测量系统,开展了航空重力测量数据处理方法研究及相应的软件研制,实现了适用于稳定平台式航空重力数据的卡尔曼平滑算法,在国内首次解算出平台式航空重力空间异常,内符合精度达到0.590×10^-5m/s^2,外符合(与GT航空重力测量系统测量数据对比)精度达到0.581×10^-5m/s^2,数据处理精度达到国际先进水平。由此表明:数据处理采用的方法可行,解算精度高,提升了我国航空重力测量数据处理技术水平。

It is of great significance to study the data-processing methods of airborne gravity survey,improve the accuracy of data processing and catch up with the advanced world level.In this paper,based on the domestic three-axis stabilized platform airborne gravity measurement system,the authors carried out the research on data processing methods and corresponding software development of airborne gravity measurement and realized the Kalman smoothing algorithm suitable for the stabilized platform airborne gravity data.The platform airborne gravity anomaly was solved for the first time in China.The internal coincidence accuracy reached 0.590×10^-5 m/s^2,the external coincidence(GT airborne gravity measuring system)accuracy reached 0.581×10^-5 m/s^2,and the accuracy of data processing was up to the international advanced level.The results show that the data processing method is feasible,has high precision,and can improve the data-processing technology of airborne gravity survey in China.